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CSV to Parquet

Convert tabular CSV data into compressed Apache Parquet for analytics, DuckDB, Python, and data pipelines. Process locally in your browser with HappyCSV.

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How to use this tool

Quick start

Built for preparing csv data for duckdb, python, analytics, and columnar data pipelines.

Everything runs in your browser, so you can test the workflow with sample data when available before using production files.

Output: An Apache Parquet file generated in a browser worker.

  1. 1Upload a CSV.
  2. 2Review the inferred table columns.
  3. 3Download the Parquet file and use it in your analytics stack.

How to CSV to Parquet

  1. 1Upload a CSV.
  2. 2Review the inferred table columns.
  3. 3Download the Parquet file and use it in your analytics stack.

Why Use This Tool?

  • ✓Convert tabular CSV data into compressed Apache Parquet for analytics, DuckDB, Python, and data pipelines.
  • ✓An Apache Parquet file generated in a browser worker.
  • ✓Files are processed locally in this browser.
  • ✓Keep the source file and review the result before importing it elsewhere.

Frequently Asked Questions

What does this tool support?

An Apache Parquet file generated in a browser worker.

What are the processing limits?

Up to 100 MB per CSV, 20 MB per complex document; 250,000 rows, 1,000 columns, 2 million cells, and 128 MB output. Jobs stop after two minutes. Large files may need splitting.

Are my files uploaded?

No. File processing stays in your browser. Files are not automatically saved for the next visit.

Can I process multiple files?

This tool processes one file at a time.